Uncertainty in the Estimation of Partial Safety Factors for Different Steel-Grade Corroded Pipelines

Bhardwaj, U.; Teixeira, A.P.; Soares, C. Guedes

doi:10.3390/jmse11010177

Cited by 6 publications

(4 citation statements)

References 42 publications

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“…w 2 = η 2 P T = 1 18 (4, 5,4,3,2) • [0.122, 0.34, 0.289, 0.249, 0] T = 0.227, ( 14) 4,5,4,3) • [0.122, 0.34, 0.289, 0.249, 0] T = 0.219,…”

Section: Risk Level Calculationmentioning

confidence: 99%

“…Policies favoring prefabricated steel structures and the impetus from market-oriented reforms in construction have increased the utilization and development of steel-structure buildings in China [1]. However, due to low construction quality, poor structural design, and insufficient supervision, collapses of steel-structure buildings have occurred frequently, causing public concern about the safety of steel structures [2]. Therefore, identifying, evaluating, and minimizing the safety risks of steel-structure buildings has become a top priority [3].…”

Section: Introductionmentioning

confidence: 99%

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A Safety Risk Analysis of a Steel-Structure Building Using an Improved Controlled Interval and Memory Model

Chen,

Zhou,

Liu

et al. 2024

Buildings

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Scholars and engineers have increasingly focused on the safety of steel-structure buildings. An accurate analysis can substantially reduce the collapse probability of these buildings. This paper proposes a novel risk analysis model to assess the safety of steel-structure buildings. The vector entropy method and weight clustering were used to improve the controlled interval and memory (CIM) model. The proposed model has the advantages of a straightforward modeling approach, strong adaptability, and logical relationships. The new strategy improves the reliability and stability of the CIM model results when the maximum membership principle is not applicable. The Jiangxi Exhibition Center in China, which has a steel truss roof, is used as a case study. The results indicate a high safety risk of the project and the need for maintenance and repair. The improved CIM model has higher stability and adaptability for analyzing the safety risks of steel structure than the standard CIM model.

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“…w 2 = η 2 P T = 1 18 (4, 5,4,3,2) • [0.122, 0.34, 0.289, 0.249, 0] T = 0.227, ( 14) 4,5,4,3) • [0.122, 0.34, 0.289, 0.249, 0] T = 0.219,…”

Section: Risk Level Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Safety Risk Analysis of a Steel-Structure Building Using an Improved Controlled Interval and Memory Model

Chen,

Zhou,

Liu

et al. 2024

Buildings

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“…Ref. [7] computed the uncertainties for safety factors used in a pipeline design against explosions due to the material's strength. They intended to investigate the probability of the pipe explosion using an MCS.…”

Section: Introductionmentioning

confidence: 99%

Unleashing the Potential of a Hybrid 3D Hydrodynamic Monte Carlo Risk Model for Maritime Structures’ Design in the Imminent Climate Change Era

Uğurlu,

Balas,

Balas

et al. 2024

JMSE

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Submarine pipelines have become integral for transporting resources and drinking water across large bodies. Therefore, ensuring the stability and reliability of these submarine pipelines is crucial. Incorporating climate change impacts into the design of marine structures is paramount to assure their lifetime safety and serviceability. Deterministic design methods may not fully consider the uncertainties and risks related to climate change compared to risk-based design models. The latter approach considers the future risks and uncertainties linked to climate and environmental changes, thus ensuring infrastructure sustainability. This study pioneers a Hybrid 3D Hydrodynamic Monte Carlo Simulation (HMCS) Model to improve the reliability-based design of submarine pipelines, incorporating the effects of climate change. Current design approaches may follow deterministic methods, which may not systematically account for climate change’s comprehensive uncertainties and risks. Similarly, traditional design codes often follow a deterministic approach, lacking in the comprehensive integration of dynamic environmental factors such as wind, waves, currents, and geotechnical conditions, and may not adequately handle the uncertainties, including the long-term effects of climate change. Nowadays, most countries are developing new design codes to modify the risk levels for climate change’s effects, such as sea-level rises, changes in precipitation, or changes in the frequency/intensity of winds/storms/waves in coastal and marine designs. Our model may help these efforts by integrating a comprehensive risk-based approach, utilizing a 3D hydrodynamic model to correlate diverse environmental factors through Monte Carlo Simulations (MCS). The hybrid model can promise the sustainability of marine infrastructure by adapting to future environmental changes and uncertainties. Including such advanced methodologies in the design, codes are encouraged to reinforce the resilience of maritime structures in the climate change era. The present design codes should inevitably be reviewed according to climate change effects, and the hybrid risk-based design model proposed in this research should be included in codes to ensure the reliability of maritime structures. The HMCS model represents a significant advancement over existing risk models by incorporating comprehensive environmental factors, utilizing advanced simulation techniques, and explicitly addressing the impacts of climate change. This innovative approach ensures the development of more resilient and sustainable maritime infrastructure capable of withstanding future environmental uncertainties.

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“…Therefore, accurate prediction of burst pressure is crucial for the safety of corroded pipelines. Aiming at providing vital guidance on the design and maintenance of different steel-grade pipelines, FORM was employed in [5] to estimate the partial safety factors and their uncertainty as a function of operational time. The probabilistic characteristics of the pipe burst strength were studied using Monte Carlo simulation (MCS) and the normal distribution is selected based on Chi-squared test results.…”

mentioning

confidence: 99%

Subsea Pipelines

Chen

Soares

2023

JMSE

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Uncertainty in the Estimation of Partial Safety Factors for Different Steel-Grade Corroded Pipelines

Cited by 6 publications

References 42 publications

A Safety Risk Analysis of a Steel-Structure Building Using an Improved Controlled Interval and Memory Model

A Safety Risk Analysis of a Steel-Structure Building Using an Improved Controlled Interval and Memory Model

Unleashing the Potential of a Hybrid 3D Hydrodynamic Monte Carlo Risk Model for Maritime Structures’ Design in the Imminent Climate Change Era

Subsea Pipelines

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